Part 2/11:
At their core, language models are trained to perform next-word prediction tasks. They are provided with extensive textual datasets and, through iterative adjustments, develop the ability to predict subsequent words based on probabilities. This process, involving trillions of minute adjustments, allows models to refine their predictive capabilities over time.